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Case studies

How we've helped hospitality, retail and leisure operators turn fragmented, spreadsheet-bound reporting into a single, trusted foundation for everyday decisions.

A busy restaurant interior
01
Restaurant & Hospitality

Nationwide Restaurant Group

Client - a leading casual dining operator

The challenge

A major restaurant group struggled with fragmented, Excel-dependent reporting and lacked a unified data foundation for operational and financial decision-making.

The approach

  • Integrated EPOS, labour, budget and supplier data into a centralised model
  • Monthly scorecards tracking 70+ KPIs across finance, HR and customer experience
  • Advanced analytics on customer segmentation, menu performance and dwell time
  • Compliance dashboards for training, audits and health & safety
  • Structured adoption and training programmes

Design architecture

A layered medallion structure - data flows from Oracle systems via APIs into Azure Data Lake Gen2, is processed through Bronze, Silver and Gold layers in Databricks, then stored in a SQL Data Warehouse and surfaced through Power BI dashboards.

Outcomes

  • Reduced manual reporting effort by hundreds of hours each month
  • Improved visibility of cost drivers, enabling faster decisions
  • Enhanced customer profiling supporting targeted campaigns
  • Optimised menu performance through detailed product analysis
  • Established a scalable, evolving analytics platform
70+ KPIs tracked 100s of hours saved / month
A modern retail store
02
Retail

Global Retailer

Client - a multinational retail group

The challenge

Over 100 disparate data sources required consolidation into a governed environment serving both operational reporting and strategic workforce planning across multiple markets.

The approach

  • Unified 100+ data sources, including real-time feeds
  • HR analytics across workforce structure, recruitment, progression and attrition
  • Predictive churn modelling and retention forecasting
  • Gender pay gap compliance reporting
  • Scalable multi-market sales reporting models with self-serve Power BI

Design architecture

A cloud-native platform combining stream ingestion via Databricks and Kafka with scheduled ingestion through Azure Data Factory. Hot and cold data paths are separated for real-time operational monitoring and structured analysis, with a SQL Data Warehouse delivering curated datasets.

Outcomes

  • Unified 100+ disparate sources into a governed cloud architecture
  • Replaced a costly third-party payroll platform with an integrated solution
  • Enhanced workforce visibility through churn modelling and org planning
  • Delivered consistent, scalable retail sales reporting across markets
  • Drove widespread adoption of self-service analytics via Power BI
100+ data sources unified Multi-market scale
A leisure and entertainment venue
03
Leisure & Entertainment

National Leisure Operator

Client - a national leisure operator

The challenge

Outdated reporting systems took hours to update each week, with limited confidence in accuracy. Leadership needed modern foundations for operational and strategic decision-making.

The approach

  • Built daily and weekly sales and labour dashboards
  • Automated compliance reporting
  • Developed advanced member analytics - churn, cohort and segmentation
  • Integrated external data - weather and events - for forecasting
  • Provided Power BI training for in-house teams

Outcomes

  • Reduced manual reporting hours through automation
  • Improved category-level profitability visibility
  • Enabled customer profiling for targeted retention
  • Enhanced forecasting accuracy via external data integration
  • Established Power BI as the central platform, with trained in-house teams
Weekly reporting automated Weather & events forecasting

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